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Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia

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Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition) (EMCEI 2019)

Part of the book series: Environmental Science and Engineering ((ENVSCIENCE))

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Abstract

In this paper, the trends in non-stationary Normalized Difference Vegetation Index (NDVI) Time Series (TS) over different areas in Tunisia are analyzed by applying wavelet transform and statistical tests. In the first step, the Discrete Wavelet Transform (DWT) was applied on three different time series in order to detect changes. Therefore, the different parameters of DWT were tested. In fact, the level of decomposition was calculated. The Maximum Energy to Shannon Entropy Ratio Criterion (MEER) was then investigated to choose the more suitable mother wavelet. Finally, the Mann-Kendall test (MK) was calculated for the last approximation of components to identify the variation in trend. In fact, the Daubechies 7 gives the best MEER for two case studies (6.0218, 2.5892) and Daubechies has better results for the other region (0.2226).

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References

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Author information

Authors and Affiliations

  1. Laboratoire RIADI, École Nationale des Sciences de l’Informatique, Manouba, Tunisia

    Manel Rhif & Imed Riadh Farah

  2. Centre d’applications et de Recherches en Télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada

    Ali Ben Abbes

  3. Departament de Física de la Terra i Termodinàmica, Universitat de València, Valencia, Spain

    Beatriz Martínez

Authors
  1. Manel Rhif
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  2. Ali Ben Abbes
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  3. Imed Riadh Farah
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  4. Beatriz Martínez
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Corresponding author

Correspondence to Manel Rhif .

Editor information

Editors and Affiliations

  1. High Institute of Biotechnology, University of Sfax, Sfax, Tunisia

    Mohamed Ksibi

  2. Appliquées et Technologies, Institut Supérieur des Sciences, Gabès, Tunisia

    Achraf Ghorbal

  3. University of Calabria, Rende, Cosenza, Italy

    Sudip Chakraborty

  4. School of Engineering (ISEP), Polytechnic of Porto, Porto, Portugal

    Helder I. Chaminé

  5. Università degli Studi di Roma, Roma, Roma, Italy

    Maurizio Barbieri

  6. University of Naples, Naples, Italy

    Giulia Guerriero

  7. High Institute of Biotechnology, University of Sfax, Sfax, Tunisia

    Olfa Hentati

  8. Faculty of Engineering, Water and Water Structure Engineering Department, Zagazig University, Zagazig, Egypt

    Abdelazim Negm

  9. University of Geneva, Genève, Geneve, Switzerland

    Anthony Lehmann

  10. ECT Oekotoxikologie GmbH, Flörsheim am Main, Hessen, Germany

    Jörg Römbke

  11. Centre for Environmental+Marine Studies, University of Aveiro, Aveiro, Portugal

    Armando Costa Duarte

  12. Department of Geography, Justus-Liebig-University Giessen, Gießen, Hessen, Germany

    Elena Xoplaki

  13. Springer Nature, Heidelberg, Baden-Württemberg, Germany

    Nabil Khélifi

  14. Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium

    Gilles Colinet

  15. University of Aveiro, Aveiro, Portugal

    João Miguel Dias

  16. Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia

    Imed Gargouri

  17. Institut de Physique du Globe de Paris, Université de Paris, Paris, France

    Eric D. Van Hullebusch

  18. FOTOAIR-CIEMAT, Madrid, Madrid, Spain

    Benigno Sánchez Cabrero

  19. Department of Civil Engineering, University of Salerno, Fisciano, Italy

    Settimio Ferlisi

  20. College of Engineering, Swansea University, Swansea, UK

    Chedly Tizaoui

  21. Sfax National School of Engineering, University of Sfax, Sfax, Tunisia

    Amjad Kallel

  22. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Sami Rtimi

  23. Department of Mining Engineering, Suleyman Demirel University, Isparta, Turkey

    Sandeep Panda

  24. Université Clermont Auvergne, Polytech, Aubière, France

    Philippe Michaud

  25. Institute of Chemical Technology, University of Stuttgart, Stuttgart, Baden-Württemberg, Germany

    Jaya Narayana Sahu

  26. High School of Science and Technology, University of Sousse, Sousse, Tunisia

    Mongi Seffen

  27. SEED DICIV, University of Salerno, Fisciano, Italy

    Vincenzo Naddeo

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Rhif, M., Abbes, A.B., Farah, I.R., Martínez, B. (2021). Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia. In: Ksibi, M., et al. Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition). EMCEI 2019. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-030-51210-1_294

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